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LLM project
[KO-VLM-Benchmark Datasets 공개🤗] - 한국어 VLM 평가를 위한 3가지 벤치마크 데이터셋
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Paper - Theory
[DoRA 논문 리뷰] - Weight-Decomposed Low-Rank Adaptation
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Paper - Theory
[UniCon 논문 리뷰] - A SIMPLE APPROACH TO UNIFYING DIFFUSION BASED CONDITIONAL GENERATION
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Paper - Theory
[WAN-Alpha 논문 리뷰] Video Generation with Stable Transparency via Shiftable RGB-A Distribution Learner
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CV project
[CIKM' 25 LOD] - Learnable Orthogonal Decomposition for Non-Regressive Prediction for PDE
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Paper - Theory
[OmniInsert 논문 리뷰] - Mask-Free Video Insertion of Any Reference via Diffusion Transformer Models
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CV project
[WANAlign2.1⚡- Awesome-Training-Free-WAN2.1-Editing]
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Paper - Theory
[FlowAlign 논문 리뷰] - Trajectory-Regularized, Inversion-Free Flow-based Image Editing
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Paper - Theory
[FlowDirector 논문 리뷰] - Training-Free Flow Steering for Precise Text-to-Video Editing
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Paper - Theory
[FlowEdit 논문 리뷰] - Inversion-Free Text-Based Editing Using Pre-Trained Flow Models
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Paper - Theory
[Rectified Flow 간단한 설명] - Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow
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LLM project
[KO-VQA 벤치마크 제작기🤗] 시각화자료질의응답 데이터셋을 활용한 한국어 VLM 능력 평가 벤치마크
